Enables the removal of training data from fitted R models while retaining predict functionality. The purged models are more portable as their memory footprints do not scale with the training sample size.

Documentation

Manual: purge.pdf
Vignette: None available.

Maintainer: Marc Maier <mmaier at massmutual.com>

Author(s): Marc Maier*, Chaoqun Jia*, MassMutual Advanced Analytics* (http://datascience.massmutual.com)

Install package and any missing dependencies by running this line in your R console:

install.packages("purge")

Depends
Imports methods
Suggests testthat, survival, lme4(>=1.1-8), ranger, randomForest, rpart
Enhances
Linking to
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depends
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imports
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suggests
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Package purge
Materials
URL
Task Views
Version 0.2.1
Published 2017-02-12
License MIT + file LICENSE
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks purge check results
Package source purge_0.2.1.tar.gz